Computer Vision

The data set contains 469 fundus images randomly selected from Telemed-R. All the 469 images are annotated by one senior pediatric ophthalmologist in SEH (Shenzhen Eye Hospital). An image annotation tool is developed based on the "VGG Image Annotator (VIA)" tool from the University of Oxford.The tool is included in this repository. The optic disk and macula in each fundus image are annotated by rectangular bounding boxes.This repository also contains related materials for our case study on this data set.

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  • Computer Vision
  • Last Updated On: 
    Sat, 11/09/2019 - 18:03

    Pedestrian detection and lane guidance 

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  • Computer Vision
  • Last Updated On: 
    Sat, 10/05/2019 - 16:56

    This dataset contains sheets of handwritten Telugu characters separated in boxes. It contains vowel, consonant, vowel-consonant and consonant-consonant pairs of Telugu characters. The purpose of this dataset is to act as a benchmark for Telugu handwritting related tasks like character recognition. There are 11 sheet layouts that produce 937 unique Telugu characters. Eighty three writers participated in generating the dataset and contributed 913 sheets in all. Each sheet layout contains 90 characters except the last which contains 83 characters where the last 10 are english numerals 0-9.

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  • Computer Vision
  • Last Updated On: 
    Fri, 10/04/2019 - 12:58

    A paradigm dataset is constantly required for any characterization framework. As far as we could possibly know, no paradigmdataset exists for manually written characters of Telugu Aksharaalu content in open space until now. Telugu content (Telugu: తెలుగు లిపి, romanized: Telugu lipi), an abugida from the Brahmic group of contents, is utilized to compose the Telugu language, a Dravidian language spoken in the India of Andhra Pradesh and Telangana just a few other neighboring states. The Telugu content is generally utilized for composing Sanskrit writings.

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  • Computer Vision
  • Last Updated On: 
    Wed, 11/27/2019 - 07:22

    A benchmark dataset is always required for any classification or recognition system. To the best of our knowledge, no benchmark dataset exists for handwritten character recognition of Manipuri Meetei-Mayek script in public domain so far. Manipuri, also referred to as Meeteilon or sometimes Meiteilon, is a Sino-Tibetan language and also one of the Eight Scheduled languages of Indian Constitution. It is the official language and lingua franca of the southeastern Himalayan state of Manipur, in northeastern India.

    458 views
  • Computer Vision
  • Last Updated On: 
    Fri, 09/27/2019 - 08:25

    Multi-modal Exercises Dataset is a multi- sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms. Collection of this dataset was inspired by the need for recognising and evaluating quality of exercise performance to support patients with Musculoskeletal Disorders(MSD).The MEx Dataset contains data from 25 people recorded with four sensors, 2 accelerometers, a pressure mat and a depth camera.

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  • Computer Vision
  • Last Updated On: 
    Tue, 10/01/2019 - 10:57

    Simulated Disaster Victim dataset consists of images and video frames containing simulated human victims in cluttered scenes along with pixel-level annotated skin maps. The simulation was carried out in a controlled environment with due consideration towards the health of all the volunteers. To generate a real effect of a disaster, Fuller’s earth is used which is skin-friendly and does not cause harm to humans. It created an effect of disaster dust over the victims in different situations. The victims included one female and four male volunteers.

    348 views
  • Computer Vision
  • Last Updated On: 
    Wed, 09/04/2019 - 06:16

    This dataset is introduced in paper "Point-cloud-based place recognition using CNN feature extraction" by T. Sun, et al.

    This dataset is for place recognition.

    The dataset is collected using an omni stereo camera and a VLP-16 Velodyne LiDAR tied together and placed on a tripod.

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  • Computer Vision
  • Last Updated On: 
    Wed, 08/21/2019 - 08:27

    Drive testing is a common practice by mobile operators to evaluate the performance and coverage of their deployed mobile communication systems. Drive testing is, however, a very expensive practice. Furthermore, due to the complexity of future 5G mobile networks, accurate and efficient ways of optimizing and evaluating coverage are needed. The dataset contains measurements from a deployed LTE-A mobile communication system and corresponding satellite images.

    495 views
  • Computer Vision
  • Last Updated On: 
    Thu, 08/15/2019 - 04:59

    Starfish color image from Berkely dataset.

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  • Computer Vision
  • Last Updated On: 
    Tue, 08/06/2019 - 09:28

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